data engineering , AWS, Databricks, Data Governance, data infrastructure, Agile Delivery

Distributed Systems, Microservices, Reactjs, Openshift, Azure, Kubernetes, AWS, Performance Optimization, Generative AI, LLM-based Applications, Agent Assist Automation, Ai, Retrieval-based Systems, DevOps Practices, Scalability Optimization, API-based Integrations, Java Spring Boot, Prompt Engineering, Knowledge Systems

Java, Apis, Software Engineering, Distributed Systems, Equities and options trading, Market Data, Operational dependencies, Messaging middleware, Order lifecycle, Technology Delivery, Asynchronous messaging, Event-driven integration patterns, Resiliency patterns, High-availability design

data engineering , power designer , Data Governance, Databricks, Data Architecture, Azure Data Factory, Hadoop, Erwin, Data Warehousing, Data Modelling, Apis, Microsoft Azure, Spark, Azure Data Lake Storage, big data processing, ETL ELT technologies, Cost Optimization, cloud data environments, schema management

Sql, Agile, Java, Dynamodb, Microservices, Ci, Postgres, Continuous Integration, Kafka, AWS, Python, Qlik, Continuous Delivery, Apis, MS SQL, Redshift, cd, IaC, Safe, Data Bricks, Cloud-native architectures, DevOps practices, Stored Procedures, Debezium

.NET, Ubuntu, Devops, Python, automated code generation, Ai, WinUI, generative AI tools, AI-Driven Software Engineering, ML technologies, intelligent analytics, continuous deployment pipelines